METHODS FOR DIAGNOSING IRRITABLE BOWEL SYNDROME

Patent №

US 8,463,553

Granted

2013-06-11

Filed 2007

Owner

PROMETHEUS LABORATORIES INC.

Lab

AI components

2

ml · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11841660

The present invention provides methods, systems, and code for accurately classifying whether a sample from an individual is associated with irritable bowel syndrome (IBS). In particular, the present invention is useful for classifying a sample from an individual as an IBS sample using a statistical algorithm and/or empirical data. The present invention is also useful for ruling out one or more diseases or disorders that present with IBS-like symptoms and ruling in IBS using a combination of statistical algorithms and/or empirical data. Thus, the present invention provides an accurate diagnostic prediction of IBS and prognostic information useful for guiding treatment decisions.

Machine learningPlanningG01N 33/686G01N 33/564G01N 33/6869G01N 33/6893G01N 33/74G01N 2800/065G01N 2800/52

AI classification

Planning0.80
Machine learning0.70
Vision0.21
Knowledge representation0.11
Natural language0.02
AI hardware0.02
Speech0.00
Evolutionary computation0.00

Ownership

PROMETHEUS LABORATORIES INC.

assignment · 205980234

Assignors

LOIS, AUGUSTO

On an employer assignment, the assignors are typically the inventors.

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